Journal ArticleDOI
Real-Time Regularized Ultrasound Elastography
TLDR
This paper introduces two real-time elastography techniques based on analytic minimization (AM) of regularized cost functions that produce axial strain and integer lateral displacement, while the second method produces both axial and lateral strains.Abstract:
This paper introduces two real-time elastography techniques based on analytic minimization (AM) of regularized cost functions. The first method (1D AM) produces axial strain and integer lateral displacement, while the second method (2D AM) produces both axial and lateral strains. The cost functions incorporate similarity of radio-frequency (RF) data intensity and displacement continuity, making both AM methods robust to small decorrelations present throughout the image. We also exploit techniques from robust statistics to make the methods resistant to large local decorrelations. We further introduce Kalman filtering for calculating the strain field from the displacement field given by the AM methods. Simulation and phantom experiments show that both methods generate strain images with high SNR, CNR and resolution. Both methods work for strains as high as 10% and run in real-time. We also present in vivo patient trials of ablation monitoring. An implementation of the 2D AM method as well as phantom and clinical RF-data can be downloaded.read more
Citations
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Journal ArticleDOI
Global Time-Delay Estimation in Ultrasound Elastography
Hoda Sadat Hashemi,Hassan Rivaz +1 more
TL;DR: A novel technique for time-delay estimation (TDE) of all samples of RF data simultaneously, thereby exploiting all the information in RF data for TDE, and is solved in real time using a computationally efficient optimization technique.
Journal ArticleDOI
Self-similarity weighted mutual information: a new nonrigid image registration metric.
TL;DR: This work proposes a self-similarity weighted graph-based implementation of α-mutual information (α-MI) for nonrigid image registration and shows that SeSaMI produces a robust and smooth cost function and outperforms the state of the art statistical based similarity metrics in simulation and using data from image-guided neurosurgery.
Journal ArticleDOI
Automatic Deformable MR-Ultrasound Registration for Image-Guided Neurosurgery
TL;DR: This work presents a novel algorithm for registration of 3-D volumetric ultrasound (US) and MR using Robust PaTch-based cOrrelation Ratio (RaPTOR), which is invariant to large amounts of spatial intensity inhomogeneity and proposes a novel outlier suppression technique based on the orientations of the RaPTOR gradients.
Journal ArticleDOI
Learning the implicit strain reconstruction in ultrasound elastography using privileged information
TL;DR: This work is the first to develop an implicit strain reconstruction framework by a deep neural network architecture that proposes the learning-using-privileged-information (LUPI) paradigm with causality in the network to correct the intermediate state of the learning process.
Book ChapterDOI
Self-similarity weighted mutual information: A new nonrigid image registration metric
Hassan Rivaz,D. Louis Collins +1 more
TL;DR: This work proposes a self-similarity weighted graph-based implementation of alpha-mutual information (alpha-MI) for nonrigid image registration that produces a robust and smooth cost function and outperforms the state of the art statistical based similarity metrics in simulation and using data from image-guided neurosurgery.
References
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Book
Biomechanics: Mechanical Properties of Living Tissues
Yuan-Cheng Fung,Richard Skalak +1 more
TL;DR: This chapter discusses the mechanics of Erythrocytes, Leukocytes, and Other Cells, and their role in Bone and Cartilage, and the properties of Bioviscoelastic Fluids, which are a by-product of these cells.
Journal ArticleDOI
Biomechanics: Mechanical Properties of Living Tissues
Yuan-Cheng Fung,Richard Skalak +1 more
TL;DR: In this article, the authors present a sketch of the history and scope of the field of bio-physiology and discuss the meaning of the Constitutive Equation and the flow properties of blood.
Journal ArticleDOI
Lucas-Kanade 20 Years On: A Unifying Framework
Simon Baker,Iain Matthews +1 more
TL;DR: In this paper, a wide variety of extensions have been made to the original formulation of the Lucas-Kanade algorithm and their extensions can be used with the inverse compositional algorithm without any significant loss of efficiency.
BookDOI
An Introduction to the Kalman Filter
Greg Welch,Gary Bishop +1 more
TL;DR: The discrete Kalman filter as mentioned in this paper is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process, in a way that minimizes the mean of the squared error.
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